Requirements

Expected technologies

.NET

.NET Core

Kafka

AWS

Docker

Kubernetes

Optional technologies

React.js

TypeScript

Operating system

Windows

macOS

Our requirements

Tech stack:

Advanced proficiency with .NET & .NET Core Strong grasp of design patterns, functional programming, and Domain-Driven Design (DDD). Nice to have: React & Type Script

Event-Driven Systems (Kafka):

Deep knowledge of Kafka architecture: producers, consumers, partitions, replication, and retention. Experience designing fault-tolerant event-driven architectures. Strong understanding of stream processing.

Cloud & Infrastructure (AWS):

Proficiency in AWS core services: EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, API Gateway, CloudWatch, Aurora DB. Strong experience with containerization and orchestration (Docker, Kubernetes, AWS ECS/EKS). Infrastructure as Code (Terraform, AWS CDK, or CloudFormation). Scaling strategies, observability (CloudWatch, OpenTelemetry, Prometheus, Grafana).

Your responsibilities

Architectural Leadership:

Define and evolve system architectures, applying Domain-Driven Design (DDD) to ensure scalability, resilience, and adaptability. Own and drive architectural decisions across teams, ensuring alignment with long-term business strategy and technical vision. Evaluate dependencies (internal and external) and design robust integration strategies, including API contracts and data flow ownership.

Analytics & Insight:

Provide engineering insight and architectural trade-off analysis for Engineering Directors and VPs of Engineering. Assess performance, scalability, and cost through data-driven evaluations of systems, dependencies, and cloud infrastructure. Develop and maintain architectural dashboards/metrics that track technical debt, dependency health, and system performance.

Cross-Functional Collaboration:

Partner with Engineering Managers and Product Managers to align technical roadmaps with business outcomes. Influence product planning with architectural foresight, identifying risks and opportunities in dependency management and analytics. Recommend and validate toolset and framework selections based on system needs, operational constraints, and team capabilities.

Mentorship & Technical Excellence:

Mentor engineers on architectural thinking, dependency management, and system observability. Lead and participate in design and code reviews, ensuring adherence to best practices in architecture, testing, and integration. Promote a culture of analytical decision-making and continuous improvement.

Execution & Reliability:

Oversee the design, implementation, and monitoring of critical systems and APIs, with a focus on inter-system dependencies. Drive cloud optimization strategies (performance vs. cost), container orchestration, and dependency resilience. Ensure product stability and reliability through structured test strategies (Test Pyramid: unit, integration, E2E).